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Coinrule
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Stop chasing headlines and let rules handle the reaction.

4.3
Excellent 4.3
Trustpilot
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News-driven risk controls

Guardrails that prevent headline whipsaws

Risk rules matter most when spreads widen. Add max daily loss limits, per-symbol position caps and cool-down timers after stop-outs. Example: if two stops hit in one ticker within 60 minutes, disable that rule for the rest of the day. These constraints keep a bad news cycle from turning into revenge trading.

Broker-ready execution

Connect your brokerage and run the same logic across stocks and ETFs without changing your workflow. Coinrule focuses on rule-based execution, while your account stays at the broker and you keep control of permissions.

Features and Benefits

Build a headline reaction checklist

When Stock Trading News breaks, speed helps, but structure helps more. Define what counts as a signal, what confirms it and what invalidates it. You might require a 5-minute close above the premarket high, then enter with a 0.8% stop and a 1.6% first target. If the move stalls, a time stop can exit after 45 minutes with no progress. This turns chaos into a repeatable process.

Use time windows and cool-downs

After a big story, the first hour can be the most erratic. Add time filters so rules only trade after spreads normalize, or only during the opening range. Cool-down timers prevent rapid re-entry after a stop. These small constraints often improve consistency more than adding new indicators.

Keep execution consistent across brokers

Rather than juggling multiple apps, run one set of rules and deploy it where you trade. Coinrule supports workflows that fit different broker setups, including Tradier, Trading212, Public and Tastytrade. You can clone a strategy, adjust position sizing per account and keep the logic identical. That makes performance comparisons cleaner.

Start with templates, then customize

Templates give you a baseline for common news behaviors like gaps, breakouts and reversals. Once you find a setup that matches your style, add your own constraints such as max positions, sector limits or a daily loss circuit breaker. Save versions so you can A/B test changes without guesswork.

FAQ

Frequently Asked Questions

What Users Say

This section displays customer reviews, ratings, and testimonials from traders who use our platform.
4.3
Excellent 4.3
Trustpilot
Megan O. reviewer profile iconMegan O.
Finally, my rules stay disciplined.
Lars H. reviewer profile iconLars H.
Saved me hours during earnings weeks.
Priya K. reviewer profile iconPriya K.
I was skeptical, but the logs made my process measurable and repeatable within two weeks.
Diego R. reviewer profile iconDiego R.
Cleaner entries after I added VWAP and time filters.
Yuki T. reviewer profile iconYuki T.
News days used to wreck my focus. Now the system waits for confirmation, sizes positions, and exits on time stops without hesitation.
Amara N. reviewer profile iconAmara N.
I stopped chasing alerts and started reviewing data. That shift improved my consistency more than any new indicator.

Additional Benefits

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Design for false moves

News-driven price action often fakes out before trending. Build invalidation rules that exit quickly when the move fails, and avoid re-entry until a new structure forms. A simple approach is to require two higher closes before re-arming a long breakout rule. This reduces churn.

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Add portfolio-level limits

Single-trade stops are not enough on volatile days. Add a portfolio drawdown rule that pauses all strategies if equity drops 2% in a session. You can also cap total open positions to avoid accidental overexposure. These controls keep the system stable.

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Use alerts as a second layer

Automation does not mean you stop paying attention. Set alerts for unusual spreads, sudden volatility or repeated order rejections. That lets you intervene when market conditions change. The goal is controlled execution, not blind execution.

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Keep strategies simple and testable

If a rule has too many conditions, it becomes hard to debug. Start with one entry signal, one confirmation and one exit plan. Then measure results over a fixed sample size, like 30 trades. Complexity should earn its place.

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Learn from real-time logs

Use the activity feed to see which condition triggered and why an order was sent. Compare winners and losers by time of day, volatility and volume. This turns trading into an engineering loop. Small refinements become obvious.

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